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StreetSignal
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By Traders, for Traders. We find, parse, curate and deliver. Welcome to StreetSignal. Saving you time & getting you to the bottom line.



What Happens When $90 billion of GPUs Every 90 Days Becomes the Baseline? We really are going up against logistical logic? Pallet Equivalents: A single data center rack of high-end GPUs weighs roughly 2,000 lbs costs around $3m. Moving $1B equates to roughly 330 fully loaded pallets or about 16 Boeing 747 freighters daily. $nvda streetsignal.substack.com/p/nvidia-set-up

$MU There's been a lot of chatter about the GPU:CPU ratio going from 6:1 to 1:1. This has even bigger implications on memory. The Vera Rubin NVL72 rack comprises 54TB of LPDDR5X on CPU, and 20.7TB HBM4 on GPU. LPDDR outweighs HBM by 2.6x. Memory supply is getting even tighter! The bigger bottleneck here is memory once again.


$SNDK/ $MU: GS on Kioxia "potential for a larger increase in ASP in 1Q3/27 (Apr-Jun) than previously assumed, and raise FY3/27-FY3/28 op. profit est by +22%/+24%. Expect Apr-Jun ASP to rise by >30% qoq (vs. +15% previously) and CY26 ASP to rise 2.7X yoy (vs. 2.4X previously)."


$MU Honestly, we are in living in a time where people think this is normal And FOMO'ing that they did not chase this. This is as parabolic as you'll see and this is a $817 BILLION MARKET CAP company Yes we are in a bubble, yes they will all collapse and yes this time IT IS NOT DIFFERENT.



Here is a guest piece I wrote for @ForwardFuture about what it takes to really run a 10T model Enjoy the weekend! $nvda $GOOGL $AVGO $MU $SNDK briefing.forwardfuture.ai/p/the-10t-thre…

There’s a lot of discussion in the markets about whether there’s an AI bubble. Here I walk through a definition of a bubble, why people normally miss bubbles, why AI is likely a bubble, and what the implications are.




Woah: CISCO SEES FY26 ORDERS FROM HYPERSCALERS $9B, UP FROM $5B


SELL. Prepare for at least two rate hikes within the next 6 months. Sticky inflation, war-driven energy risks, and extreme AI bubble valuations are a dangerous mix. The market is still not pricing reality. $SPY $QQQ $NVDA $AMD $MU $INTC $TSLA $MSFT $SMCI $ARM

$MU: JPM-strikes "2Q26 memory contract pricing is tracking well above expectations (DRAM +58-63% q/q, NAND +70-75% q/q vs. JPM's prior +40-50% estimate), which could largely neutralize the labor cost headwind and even make the strike a tailwind for near-term pricing negotiations"

"tokenmaxxing" is now an industry term. employees everywhere are racing to burn as many AI tokens as possible to look productive. Amazon told devs use AI weekly or else. now they feed their internal agent pointless busywork to farm tokens. Meta has a leaderboard called "claudeonomics" ranking 85,000 employees. one guy burned 281 BILLION tokens in 30 days. his bill alone: ~$1.4M Microsoft engineers admit to asking AI questions already answered in their docs. just to look productive. NVIDIA: CEO publicly wants every engineer spending half their salary on tokens. measuring employees by tokens burned is like measuring writers by words typed 😭

Micron $MU trades at 9x earnings today while Qualcomm traded at 146x during the dot-com bubble. This chart should end the comparisons between 2026 and 2000.